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Can Grants to Consortia Spur Innovation and Science-Industry Collaboration? Regression- Discontinuity Evidence from Poland

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  • Miriam Bruhn
  • David McKenzie

Abstract

Innovation policy aims to foster collaborations between science and industry in many countries, but there is little evidence for the effectiveness of such efforts in developing countries. We use regression discontinuity to measure the impact of funding from Poland’s In-Tech program on innovation activities carried out by consortia of firms and research entities. A detailed follow-up survey of applicants enables us to measure a wider variety of outcomes than typically used in the literature. We find that the grants increase the probability of a project being completed by almost 60 percentage points, lead to more science-industry collaboration, and increase the probability of domestic patents and publications related to the proposed project. We also find early effects on commercialization of products related to the proposed project.

Suggested Citation

  • Miriam Bruhn & David McKenzie, 2019. "Can Grants to Consortia Spur Innovation and Science-Industry Collaboration? Regression- Discontinuity Evidence from Poland," The World Bank Economic Review, World Bank, vol. 33(3), pages 690-716.
    • Handle: RePEc:oup:wbecrv:v:33:y:2019:i:3:p:690-716.
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    Cited by:

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    2. Awaworyi Churchill, Sefa & Iqbal, Nasir & Nawaz, Saima & Yew, Siew Ling, 2021. "Unconditional cash transfers, child labour and education: theory and evidence," Journal of Economic Behavior & Organization, Elsevier, vol. 186(C), pages 437-457.
    3. Dvouletý Ondřej & Čadil Jan & Mirošník Karel, 2019. "Do Firms Supported by Credit Guarantee Schemes Report Better Financial Results 2 Years After the End of Intervention?," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 19(1), pages 1-20, January.
    4. Garret Kent Fellows & Jennifer Winter & Alaz Munzur, 2023. "An Analysis of Industrial Policy Mechanisms to Support Commercial Deployment of Bitumen Partial Upgrading in Alberta," Energies, MDPI, vol. 16(6), pages 1-49, March.
    5. Yiwen Liu & Jian Li & Yi Xu, 2022. "Quantitative Evaluation of High-Tech Industry Policies Based on the PMC-Index Model: A Case Study of China’s Beijing-Tianjin-Hebei Region," Sustainability, MDPI, vol. 14(15), pages 1-17, July.

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    More about this item

    Keywords

    R&D; innovation; science-industry collaboration; regression discontinuity design;
    All these keywords.

    JEL classification:

    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • O38 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Government Policy
    • H25 - Public Economics - - Taxation, Subsidies, and Revenue - - - Business Taxes and Subsidies

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